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Daniel Takabi
Daniel Takabi
Professor and Director of School of Cybersecurity, Old Dominion University
odu.edu의 이메일 확인됨
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Security and privacy challenges in cloud computing environments
H Takabi, JBD Joshi, GJ Ahn
20172010
Cryptodl: Deep neural networks over encrypted data
E Hesamifard, H Takabi, M Ghasemi
arXiv preprint arXiv:1711.05189, 2017
4982017
Privacy-preserving Machine Learning as a Service
E Hesamifard, H Takabi, M Ghasemi, R Wright
Proceedings on Privacy Enhancing Technologies (PoPETs) 2018 (3), 123-142, 2018
3602018
Privacy threat and defense for federated learning with non-iid data in AIoT
Z Xiong, Z Cai, D Takabi, W Li
IEEE Transactions on Industrial Informatics 18 (2), 1310-1321, 2021
2242021
Securecloud: Towards a comprehensive security framework for cloud computing environments
H Takabi, JBD Joshi, GJ Ahn
2010 IEEE 34th Annual Computer Software and Applications Conference …, 2010
2172010
Self-Supervised Learning for Electroencephalography
MH Rafiei, LV Gauthier, H Adeli, D Takabi
IEEE Transactions on Neural Networks and Learning Systems, 1-15, 2022
2002022
Towards active detection of identity clone attacks on online social networks
L Jin, H Takabi, JBD Joshi
Proceedings of the first ACM conference on Data and application security and …, 2011
1592011
MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm
F Abazari, M Analoui, H Takabi, S Fu
Simulation Modelling Practice and Theory 93, 119-132, 2019
1302019
IEEE transactions on neural networks and learning systems
MH Rafiei, LV Gauthier, H Adeli, D Takabi
IEEE, 2022
1152022
Deep Neural Networks Classification over Encrypted Data
E Hesamifard, H Takabi, M Ghasemi
Proceedings of the Ninth ACM Conference on Data and Application Security and …, 2019
1002019
Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption
H Takabi, E Hesamifard, M Ghasemi
Private Multi-Party Machine Learning -- NIPS 2016 Workshop, 2016
952016
Privacy-preserving Machine Learning in Cloud
E Hesamifard, H Takabi, M Ghasemi, C Jones
2017 ACM CCS Cloud Computing Security Workshop (CCSW '17), 39-43, 2017
862017
DCDIDP: A Distributed, Collaborative, and Data-driven Intrusion Detection and Prevention Framework for Cloud Computing Environments
S Taghavi Zargar, H Takabi, JBD Joshi
Collaborative Computing: Networking, Applications and Worksharing, 2011 …, 2011
80*2011
StateMiner: an efficient similarity-based approach for optimal mining of role hierarchy
H Takabi, JBD Joshi
Proceedings of the 15th ACM symposium on Access control models and …, 2010
712010
A survey of deep learning architectures for privacy-preserving machine learning with fully homomorphic encryption
R Podschwadt, D Takabi, P Hu, MH Rafiei, Z Cai
IEEE Access 10, 117477-117500, 2022
682022
A comprehensive approach for network attack forecasting
M GhasemiGol, A Ghaemi-Bafghi, H Takabi
computers & security 58, 83-105, 2016
682016
Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks
S Obla, X Gong, A Aloufi, P Hu, D Takabi
IEEE Access, 1-15, 2020
672020
Inside the Mind of the Insider: Towards Insider Threat Detection Using Psychophysiological Signals
Y Hashem, H Takabi, M GhasemiGol, R Dantu
Journal of Internet Services and Information Security (JISIS) 6 (1), 20-36, 2016
63*2016
DLLMiner: structural mining for malware detection
M Narouei, M Ahmadi, G Giacinto, H Takabi, A Sami
Security and Communication Networks 8 (18), 3311-3322, 2015
622015
A Deep Learning Approach for Extracting Attributes of ABAC Policies
M Alohaly, H Takabi, E Blanco
Proceedings of the 23rd ACM on Symposium on Access Control Models and …, 2018
542018
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학술자료 1–20